Body composition and energy expenditure in a population of children and adolescents with myelomeningocele
Bibliographic record
Abstract
INTRODUCTION: Myelomeningocele is a congenital defect that occurs when the neural tube fails to close completely. It causes body composition alterations and a high prevalence of obesity. It is difficult to detect the most adequate indicator for a nutritional diagnosis due to the impossibility of recording accurate anthropometric measurements. OBJECTIVE: To describe body composition, resting energy expenditure and metabolic disorders in a population of patients with myelomeningocele managed at "Hospital Garrahan" by comparing obese patients with myelomeningocele and a control population with multifactorial obesity. POPULATION AND METHODS: An anthropometry, an impedance analysis, skinfold equations, arm circumference equations, indirect calorimetry, and biochemical determinations were done to all patients with myelomeningocele between June 2013 and April 2014, once the informed consent had been signed. RESULTS: 131 patients aged 0.7-18.6 years were assessed; they were classified according to their body mass index Z-score into low weight (15%), normal weight (42%), overweight (12%), and obese (31%). A high correlation (r: 20.74) was observed between the fat mass % measured by impedance analysis versus that estimated using skinfolds. Patients with a high fat mass % had a higher body mass index Z-score than those with a normal fat mass % (1.07 versus -0.27, p: 0.0001) although both values were within normal parameters. A lower resting energy expenditure was observed among obese patients with myelomeningocele than predicted and in comparison with multifactorial obese controls. CONCLUSIONS: A high percentage of overweight/obesity was found in the population with myelomeningocele. Skinfold equations would be more adequate to detect obesity. Obese patients with myelomeningocele had a lower resting energy expenditure than predicted and in comparison with controls. Energy indication should be customized.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".